SM Watt

1.4k citations
20 papers · 1.1k indexed · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
    • Cell Adhesion Molecules Research

Papers in

    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 4
    • Platelet Disorders and Treatments 3
    • Cell Adhesion Molecules Research 3

SM Watt

19 papers receiving 1.1k citations

Peers

SM Watt
Comparison fields: 5 of 85
  • Hematology 559
  • Immunology and Allergy 126
  • Immunology 369
  • Genetics 141
  • Public Health, Environmental and Occupational Health 220
Replace Margarete Zaborski with:
Margarete Zaborski Germany
F Valensi France
SA Cannistra United States
Timothy J. Ernst United States
NN Iscove Canada
Emir Hadzijusufovic Austria
Monica Pallis United Kingdom
Hisamaru Hirai Japan
RN Buick Canada
T Hoang Canada
SM Watt relative to Margarete Zaborski Germany Margarete Zaborski's profile →
Citations per field
00.5×1.5×1.9×
Margarete Zaborski · 1×
Citations per year

Countries citing papers authored by SM Watt

Since Specialization
Citations

This map shows the geographic impact of SM Watt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by SM Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SM Watt more than expected).

Fields of papers citing papers by SM Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by SM Watt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by SM Watt. The network helps show where SM Watt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside SM Watt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with SM Watt Line = papers co-authored together SM Watt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199926
2 19984
3 199496
4 19943
5 199435
6 19945
7 19940
8 1993143
9 19935
10 19913
11
An improved negative immunomagnetic selection strategy for the purification of primitive hemopoietic cells from normal bone marrow.
199141
12 198833
13 198849
14 198832
15 19863
16 198630
17 1986469
18 198687
19 198432
20 198145

About SM Watt

SM Watt is a scholar working on Hematology, Immunology and Allergy, Immunology, Cell Biology and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Platelet Disorders and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (3 papers), Single-cell and spatial transcriptomics (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Hematology (559 citations), Immunology and Allergy (126 citations), Immunology (369 citations), Genetics (141 citations) and Public Health, Environmental and Occupational Health (220 citations). SM Watt has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Andrew J. Furley, Melvyn F. Greaves, H. V. Molgaard, LC Chan, Deirdre R. Coombe, W. J. Simmonds, Christopher R. Parish, MF Greaves, T. R. Bradley and Ivan Bertoncello. Their work appears in journals such as Blood, Journal of Lipid Research, Leukemia, The EMBO Journal and Journal of Symbolic Computation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026